Exploratory data analysis with matlab/ Wendy L. Martinez, Angel R Martinez and Jeffrey L Solka

Includes bibliographical references and indexes

Preface to the Third Edition -- Preface to the Second Edition -- Preface to the First Edition -- Part. 1. Introduction to Exploratory Data Analysis -- Chapter 1. Introduction to Exploratory Data Analysis -- Part. 2. EDA as Pattern Discovery -- Chapter 2. Dimensionally Reduction - Linear Methods -- Chapter 3. Dimensionally Reduction - Nonlinear methods -- Chapter 4. Data Tours -- Chapter 5. Finding Clusters -- Chapter 6 Model-Based Clustering -- Chapter 7. Smoothing Scatterplots -- Part III Graphical Methods for EDA -- Chapter 8. Visualizing Clusters -- Chapter 9. Distribution Shapes -- Chapter 10. Multivariate Visualization -- Chapter 11. Visualizing Categorical Data -- Appendix A - Proximity Measures -- Appendix B - Software Resources for EDA -- Appendix C - Description of Data Sets -- Appendix D - Matlab Basics -- References -- Author Index -- Subject Index

Exploratory Data Analysis with MATLAB presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website.
The revised third edition includes random projections and estimating local intrinsic dimensionality; plots for visualizing data distributions, such as beanplots and violin plots; as well as a chapter on visualizing categorical data.

Also available as an electronic resource.